We are looking for a passionate and skilled
AI Engineer
to join our AI & Cloud Innovation team. In this role, you will work on real-world GenAI applications, build intelligent automation solutions, and integrate large language models with modern cloud-native platforms. Responsibilities
Key Responsibilities
-
API Development
: Build robust APIs and microservices using FastAPI
to integrate AI models into scalable applications. -
Data Management
: Work with vector databases
to store and retrieve structured and unstructured data for GenAI workflows. -
Prompt Engineering
: Design and optimize prompts using techniques like Chain of Thought (CoT)
and advanced prompting strategies to improve model outputs. -
Agent Development
: Develop autonomous and function-calling agents using frameworks like LangChain
, LlamaIndex
, or custom logic. -
Collaboration
: Work closely with cross-functional teams including UI, DevOps, and product stakeholders to define goals and deliver solutions. -
Documentation
: Maintain comprehensive documentation for agents, prompts, APIs, workflows, and architecture to support both technical and non-technical audiences. -
Frameworks & Tools
: FastAPI, LangChain, LlamaIndex, GitHub Actions, Terraform. -
Generative AI Techniques
: Retrieval-Augmented Generation (RAG), Function Calling Agents, Prompt Engineering. -
Cloud Platforms
: AWS, Google Cloud Platform (Vertex AI, GKE), Microsoft Azure.
Requirements
Must-Have Skills
-
1 3 years
of experience in backend development using Python
, with a strong foundation in building RESTful APIs using FastAPI
. -
Solid understanding of
Generative AI concepts
, including prompt engineering, RAG, and agent workflows (e.g., using LangChain or LlamaIndex). -
Hands-on experience working with
vector databases
(e.g., Milvus, Pinecone, or Vertex AI Vector Search). -
Proficient in building
LLM function-calling agents
and integrating them into production-ready pipelines. -
Experience deploying and managing applications on
cloud platforms
such as GCP
, AWS
, or Azure
. -
Familiarity with
CI/CD pipelines
, and version control ( Git/GitHub
) -
Strong problem-solving mindset and ability to work in fast-paced, iterative development environments.
-
Excellent written and verbal communication skills for cross-functional collaboration and documentation.
Nice-to-Have Skills
-
Knowledge of
multi-agent orchestration
, tools like CrewAI, AutoGen,
LangGraph
, or task-driven LLM workflows. -
Exposure to
frontend integration
with React-based UIs or familiarity with building full-stack features. -
Prior experience in enterprise-grade automation tools or telecom-specific AI solutions.
-
Understanding of
data governance
, security best practices
, and access control (e.g., RBAC in AI workflows).
